DocumentCode
2360242
Title
On the Capability of Sense Space Model for Word Sense Disambiguation
Author
Shams, Armin
Author_Institution
Electr. & Comput. Eng. Dept., Univ. of Tehran, Tehran, Iran
fYear
2012
fDate
23-25 May 2012
Firstpage
1
Lastpage
6
Abstract
We had proposed a general model for WSD which is novel in some interesting ways and we have customized the model in form of a method (algorithm group) which is further customized in form of a number of algorithms to study the model´s capability. We have introduced an optimization which has resulted in an unsupervised system which is the second best when evaluated against the renowned Senseval-3 international evaluation scheme, while it is the best non-hybrid unsupervised one.
Keywords
natural language processing; optimisation; Senseval-3 international evaluation scheme; algorithm group; optimization; sense space model; unsupervised system; word sense disambiguation; Accuracy; Computational modeling; Context modeling; Data models; Frequency control; Frequency conversion; Humans;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Applications (ICISA), 2012 International Conference on
Conference_Location
Suwon
Print_ISBN
978-1-4673-1402-2
Type
conf
DOI
10.1109/ICISA.2012.6220922
Filename
6220922
Link To Document